AI Engineering Course
What will I learn?
Simudzira basa rako rezve hunyanzvi ne AI Engineering Course yedu, yakagadzirirwa nyanzvi dze tekinoroji dzinoda kunyatsonzwisisa AI. Pinda mukati memaitiro ekuongorora mamodheru akadai se Recall, F1-Score, uye cross-validation. Wedzera hunyanzvi hwako mukunyora magwaro zvakanaka uye ongorora machine learning algorithms ekufembera churn, kusanganisira miti yemazano uye logistic regression. Wana hunyanzvi mukutsvaga data, feature encoding, uye nzira dzekugadzirisa mamodheru. Unganai nesu kuti tishandure data kuita mazano anobatsira uye titungamirire hunyanzvi mumunda wako.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatsoziva kuongorora mamodheru: Vandidza kurongeka ne Recall, F1-Score, uye Precision.
Nyora magwaro zvakanaka: Ratidza zvikonzero uye dudzira mhedzisiro zvakajeka.
Fembera churn: Shandisa Decision Trees, Random Forests, uye Logistic Regression.
Gadzirira data: Ita exploratory analysis uye ubate data isipo zvakanaka.
Gadzirisa mamodheru: Shandisa ensemble methods uye gadzirisa zvakanaka hyperparameters.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.